Interactions between Polygenic Risk Scores, Dietary Pattern, and Menarche Age with the Obesity Risk in a Large Hospital-Based Cohort

Obese Asians are more susceptible to metabolic diseases than obese Caucasians of the same body mass index (BMI). We hypothesized that the genetic variants associated with obesity risk interact with the lifestyles of middle-aged and elderly adults, possibly allowing the development of personalized in...

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Veröffentlicht in:	Nutrients 2021-10, Vol.13 (11), p.3772
Hauptverfasser:	Park, Sunmin, Yang, Hye Jeong, Kim, Min Jung, Hur, Haeng Jeon, Kim, Soon-Hee, Kim, Myung-Sunny
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdomen Adult Adults Age Factors Aged Alcohol use Asian People - genetics Blood pressure Body fat Body mass Body Mass Index Body size Brain-derived neurotrophic factor Case-Control Studies Cohort Studies Creatinine Customization Diet - adverse effects Diet - ethnology Diet - methods Feeding Behavior - ethnology Female Food Food intake Genes Genetic analysis Genetic diversity Genetic Predisposition to Disease - ethnology Genetic Predisposition to Disease - genetics Genetic variance Genome-wide association studies Genome-Wide Association Study Genomes Genotype Genotypes Hemoglobin Hospitals Humans Kidney diseases Kinases Lipids Male Menarche Menarche - genetics Menstruation Metabolic disorders Metabolic syndrome Middle Aged Muscles Musculoskeletal system Nutrient deficiency Nutrition Nutritional Physiological Phenomena - genetics Obesity Obesity - epidemiology Obesity - ethnology Obesity - etiology Polymorphism, Single Nucleotide - genetics Proteins Questionnaires Republic of Korea - epidemiology Republic of Korea - ethnology Risk Risk Factors Single-nucleotide polymorphism Skeletal muscle Thyroid diseases Womens health
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Zusammenfassung:	Obese Asians are more susceptible to metabolic diseases than obese Caucasians of the same body mass index (BMI). We hypothesized that the genetic variants associated with obesity risk interact with the lifestyles of middle-aged and elderly adults, possibly allowing the development of personalized interventions based on genotype. We aimed to examine this hypothesis in a large city hospital-based cohort in Korea. The participants with cancers, thyroid diseases, chronic kidney disease, or brain-related diseases were excluded. The participants were divided into case and control according to their BMI: ≥25 kg/m (case; = 17,545) and
ISSN:	2072-6643 2072-6643
DOI:	10.3390/nu13113772